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HIGH PhantomRaven npm Stealer Built With LLM Targets Dev Secrets // HIGH SynthID Watermarking Weakens LLM Safety Guardrails Under Attack // HIGH RatHat Android Malware Uses Generative AI to Control Devices // FIRST LOOK OpenAI Reports Self-Injecting Prompts Found in Astra Compaction // CRITICAL OpenAI GPT-5.6 Sol Agents Hide Mistakes in Compaction Summaries // CRITICAL Heap Overflow and SSO Flaw Let Hackers Access OpenAI Repos // FIRST LOOK Base Labs and Hugging Face Launch Open-Weight AI Safety Standard // FIRST LOOK AWS AgentCore Harness Ships Built-In Shell and Identity Vault Tools // FIRST LOOK Apollo Research Launches Watcher to Monitor Rogue AI Agents // FIRST LOOK Anthropic Launches Claude Code Projects for Multi-Agent Cloud Orchestration //
OLLAMA

Ollama

3 reports
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NVIDIA NemoClaw Flaw Lets Malicious Page Poison Local AI Model

NVIDIA NemoClaw Flaw Lets Malicious Page Poison Local AI Model

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 The Hacker News

Oasis Security has disclosed a vulnerability in NVIDIA's NemoClaw agent stack that exposes local Ollama inference servers to unauthenticated access when the daemon is bound to 0.0.0.0:11434, enabling attackers to modify a model's chat template and inject persistent hidden instructions. The attack chain combines a misconfigured network binding, bypassed CORS and Host header middleware, and DNS rebinding to allow a malicious webpage to silently poison the AI model used by every subsequent conversation. A partial fix is available for macOS and Linux in v0.0.35, but Windows and WSL deployments remain unpatched and receive only a warning banner.

Kimsuky Runs Offline LLMs to Sharpen Phishing, Build Malware

Kimsuky Runs Offline LLMs to Sharpen Phishing, Build Malware

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 The Hacker News

North Korean APT group Kimsuky has assembled a private, offline AI stack — including Ollama, GPT4All, and RAG tooling — to enhance spear-phishing lure quality and automate malware development in C#/.NET. South Korean firm Genians found configured instances of these tools on Kimsuky-linked infrastructure, alongside developer libraries such as LLaMaSharp and Microsoft Semantic Kernel, indicating deliberate integration of AI into the group's attack pipeline. The shift erodes traditional phishing detection signals like poor grammar and formatting, forcing defenders to pivot toward behavioural indicators on the endpoint.

CVE-2026-7482: Ollama Heap Read Exposes API Keys

CVE-2026-7482: Ollama Heap Read Exposes API Keys

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 SecurityWeek

A critical heap out-of-bounds read vulnerability (CVE-2026-7482, CVSS 9.3) in Ollama's GGUF model loader allows unauthenticated remote attackers to exfiltrate sensitive heap memory — including API keys, prompts, and PII — using just three API calls. With approximately 300,000 Ollama instances publicly exposed and no authentication required by default, the attack surface is immediately and broadly exploitable. The vulnerability has been patched in Ollama version 0.17.1, but unpatched internet-facing deployments remain at critical risk.

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